Calculation of ventilation rates and ammonia emissions : Comparison of sampling strategies for a naturally ventilated dairy barn

dc.bibliographicCitation.firstPage15eng
dc.bibliographicCitation.lastPage30eng
dc.bibliographicCitation.volume198eng
dc.contributor.authorJanke, David
dc.contributor.authorWillink, Dylia
dc.contributor.authorAmmon, Christian
dc.contributor.authorHempel, Sabrina
dc.contributor.authorSchrade, Sabine
dc.contributor.authorDemeyer, Peter
dc.contributor.authorHartung, Eberhard
dc.contributor.authorAmon, Barbara
dc.contributor.authorOgink, Nico
dc.contributor.authorAmon, Thomas
dc.date.accessioned2021-07-26T06:22:34Z
dc.date.available2021-07-26T06:22:34Z
dc.date.issued2020
dc.description.abstractEmissions and ventilation rates (VRs) in naturally ventilated dairy barns (NVDBs) are usually measured using indirect methods, where the choice of inside and outside sampling locations (i.e. sampling strategy) is crucial. The goal of this study was to quantify the influence of the sampling strategy on the estimation of emissions and VRs. We equipped a NVDB in northern Germany with an extensive measuring setup capable of measuring emissions under all wind conditions. Ammonia (NH3) and carbon dioxide (CO2) concentrations were measured with two Fourier-transform infrared spectrometers. Hourly values for ventilation rates and emissions for ammonia over a period of nearly a year were derived using the CO2 balance method and five different sampling strategies for the acquisition of indoor and outdoor concentrations were applied. When comparing the strategy estimating the highest emission level to the strategy estimating the lowest, the differences in NH3 emissions in winter, transition, and summer season were +26%, +19% and +11%, respectively. For the ventilation rates, the differences were +80%, +94%, and 63% for the winter, transition and summer season, respectively. By accommodating inside/outside concentration measurements around the entire perimeter of the barn instead of a reduced part of the perimeter (aligned to a presumed main wind direction), the amount of available data substantially increased for around 210% for the same monitoring period.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/6349
dc.identifier.urihttps://doi.org/10.34657/5396
dc.language.isoengeng
dc.publisherSan Diego, Calif. : Academ. Presseng
dc.relation.doihttps://doi.org/10.1016/j.biosystemseng.2020.07.011
dc.relation.essn1537-5129
dc.relation.ispartofseriesBiosystems engineering 198 (2020)eng
dc.relation.issn1537-5110
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subjectAir exchange rateeng
dc.subjectCO2 balance methodeng
dc.subjectFTIReng
dc.subjectLong-term measurementseng
dc.subjectSampling positionsger
dc.subject.ddc570eng
dc.titleCalculation of ventilation rates and ammonia emissions : Comparison of sampling strategies for a naturally ventilated dairy barneng
dc.typearticleeng
dc.typeTexteng
dcterms.bibliographicCitation.journalTitleBiosystems engineeringeng
tib.accessRightsopenAccesseng
wgl.contributorATBeng
wgl.subjectBiowissensschaften/Biologieeng
wgl.typeZeitschriftenartikeleng
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